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Featured researches published by Eli Liebman.


Statistical journal of the IAOS | 2012

Measuring Health Care Costs of Individuals with Employer-Sponsored Health Insurance in the U.S.: A Comparison of Survey and Claims Data

Ana Aizcorbe; Eli Liebman; Sarah Pack; David M. Cutler; Michael E. Chernew; Allison B. Rosen

As the core nationally representative health expenditure survey in the United States, the Medical Expenditure Panel Survey (MEPS) is increasingly being used by statistical agencies to track expenditures by disease. However, while MEPS provides a wealth of data, its small sample size precludes examination of spending on all but the most prevalent health conditions. To overcome this issue, statistical agencies have turned to other public data sources, such as Medicare and Medicaid claims data, when available. No comparable publicly available data exist for those with employer-sponsored insurance. While large proprietary claims databases may be an option, the relative accuracy of their spending estimates is not known. This study compared MEPS and MarketScan estimates of annual per person health care spending on individuals with employer-sponsored insurance coverage. Both total spending and the distribution of annual per person spending differed across the two data sources, with MEPS estimates 10 percent lower on average than estimates from MarketScan. These differences appeared to be a function of both underrepresentation of high expenditure cases and underestimation across the remaining distribution of spending.


Journal of Health Economics | 2013

Geographic variation in commercial medical-care expenditures: A framework for decomposing price and utilization

Abe Dunn; Adam Hale Shapiro; Eli Liebman

This study introduces a new framework for measuring and analyzing medical-care expenditures. The framework focuses on expenditures at the disease level that are decomposed between price and utilization. We find that both price and utilization differences are important contributors to expenditure differences across commercial markets. Further examination shows that for some diseases utilization drives variation while for others price is more important. Finally, when disease-specific measures are aggregated across diseases, much of the important disease-specific variation is masked, leading to much smaller measures of aggregate variation.


National Bureau of Economic Research | 2012

Decomposing Medical-Care Expenditure Growth

Abe Dunn; Eli Liebman; Adam Hale Shapiro

Medical-care expenditures have been rising rapidly, accounting for over 17 percent of GDP in 2012. In this study, we assess the sources of the rising medical-care expenditures in the commercial sector. We employ a novel framework for decomposing expenditure growth into four components at the disease level: service price growth, service utilization growth, treated disease prevalence growth, and demographic shift. The decomposition shows that growth in prices and treated prevalence are the primary drivers of medical-care expenditure growth over the 2003 to 2007 period. There was no growth in service utilization at the aggregate level over this period. Price and utilization growth were especially large for the treatment of malignant neoplasms. For many conditions, treated prevalence has shifted towards preventive treatment and away from treatment for late-stage illnesses.


Health Economics | 2015

Implications of Utilization Shifts on Medical-Care Price Measurement

Abe Dunn; Eli Liebman; Adam Hale Shapiro

The medical-care sector often experiences changes in medical protocols and technologies that cause shifts in treatments. However, the commonly used medical-care price indexes reported by the Bureau of Labor Statistics hold the mix of medical services fixed. In contrast, episode expenditure indexes, advocated by many health economists, track the full cost of disease treatment, even as treatments shift across service categories (e.g., inpatient to outpatient hospital). In our data, we find that these two conceptually different measures of price growth show similar aggregate rates of inflation over the 2003-2007 period. Although aggregate trends are similar, we observe differences when looking at specific disease categories.


Health Affairs | 2016

No Shot: US Vaccine Prices and Shortages

David B. Ridley; Xiaoshu Bei; Eli Liebman

In 2004 an Institute of Medicine report warned of vaccine shortages, raising concerns about disease outbreaks. More than a decade later, we looked for progress in reducing vaccine shortages. We analyzed data on vaccine sales and shortages reported by practitioners and patients to the Food and Drug Administration and the American Society of Health-System Pharmacists in the period 2004-13. We found that the number of annual vaccine shortages peaked in 2007, when there were shortages of seven vaccines; there were only two shortages in 2013. There were no shortages of vaccines with a mean price per dose greater than


Milbank Quarterly | 2017

Consumers' Response to an On-Shelf Nutrition Labelling System in Supermarkets: Evidence to Inform Policy and Practice.

Erin Hobin; Bryan Bollinger; Jocelyn Sacco; Eli Liebman; Lana Vanderlee; Fei Zuo; Laura Rosella; Mary R. L'Abbé; Heather Manson; David Hammond

75 during the study period. Furthermore, we found that a 10 percent increase in price was associated with a nearly 1 percent decrease in the probability of a shortage. Government payers should carefully consider the benefits of averting shortages when evaluating prices for vaccines, including older vaccines whose prices have been subject to congressional price caps.


Archive | 2012

Household Consumption Expenditures for Medical Care: An Alternate Presentation

Ana Aizcorbe; Eli Liebman; David M. Cutler; Allison B. Rosen


7th Annual Conference of the American Society of Health Economists | 2018

Bargaining in Markets with Exclusion: An Analysis of Health Insurance Networks

Eli Liebman


American Economic Journal: Economic Policy | 2017

The Role of Government Reimbursement in Drug Shortages

Ali Yurukoglu; Eli Liebman; David B. Ridley


NBER Chapters | 2016

Attribution of Health Care Costs to Diseases: Does the Method Matter?

Allison B. Rosen; Ana Aizcorbe; Tina Highfill; Michael E. Chernew; Eli Liebman; Kaushik Ghosh; David M. Cutler

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Adam Hale Shapiro

Federal Reserve Bank of San Francisco

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Allison B. Rosen

University of Massachusetts Medical School

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Ana Aizcorbe

Bureau of Economic Analysis

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Abe Dunn

Government of the United States of America

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Kaushik Ghosh

National Bureau of Economic Research

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